Comprehensive dataset of heterogeneous network structures in traditional Chinese medicine research

This dataset presents a comprehensive collection of heterogeneous network structures commonly encountered in biomedical research. The dataset encompasses diverse types of networks, including protein-protein interaction networks, herb-target interaction networks, herb-symptom interaction networks, herb-herb association networks, and symptom-symptom association networks. Each network is represented as a graph, with nodes representing entities such as proteins, herb, symptoms, and efficacy, and edges representing the relationships between these entities. The dataset provides detailed descriptions of the nodes and edges in each network, along with metadata such as node attributes where applicable. This dataset serves as a valuable resource for researchers studying complex biological systems and exploring relationships between various biomedical entities., The dataset is composed of seven files that encompass a range of networks, including protein-protein interactions, herb-target interactions, herb-symptom interactions, herb-herb associations, and symptom-symptom associations. It features three types of nodes: 1,254 herbs, 1,027 symptoms, and 2,208 protein targets. Additionally, the dataset includes five types of associations: 1,912 herb-herb associations, 7,220 symptom-symptom associations, 25,133 protein-protein interactions, 168,797 herb-target associations, and 16,739 herb-symptom associations. Below, you'll find detailed descriptions of the contents contained within these seven files.
The first file is a compressed CSV that encompasses data on proteins and herbs. It begins with a header row outlining the dataset's features, followed by rows detailing specific protein-herb interactions. The columns are divided into two segments: the first segment includes attributes related to proteins such as Target ID, Protein Name, Gene Symbol, an..., , # Comprehensive Dataset of Heterogeneous Network Structures in Traditional Chinese Medicine Research

[https://doi.org/10.5061/dryad.wh70rxwx9](https://doi.org/10.5061/dryad.wh70rxwx9)

## Description of the data and file structure

The dataset is comprised of seven files that encompass a range of networks, including protein-protein interactions, herb-target interactions, herb-symptom interactions, herb-herb associations, and symptom-symptom associations. It features three types of nodes: 1,254 herbs, 1,027 symptoms, and 2,208 protein targets. Additionally, the dataset delineates five types of associations: 1,912 herb-herb associations, 7,220 symptom-symptom associations, 25,133 protein-protein interactions, 168,797 herb-target associations, and 16,739 herb-symptom associations. Below, you'll find detailed descriptions of the contents contained within these seven files.

### Herb target.csv

“Herb target.csv” is a compressed CSV that encompasses data on proteins and herbs. It begins wi...